| Presentation | 2002/3/8 An attempt to search for parameter sets for non-periodical dynamics in dynamical neural network models Masaharu ADACHI, Katsuhiro SAITO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | An attempt to search for parameter sets for non-periodical dynamics in dynamical neural network models is reported in this article. A quasi-energy function and average firing rate are used to determine the fitness function for the genetic algorithms to achieve dynamics that includes retrieval of all the stored patterns of an associative chaotic neural network. The result implies that such a parameter search method for the dynamical neural network models might be better than the conventional method for determining parameter values using bifurcation diagrams. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | neural network models / dynamical assocication / genetic algorithms |
| Paper # | NLP2001-105 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2002/3/8(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An attempt to search for parameter sets for non-periodical dynamics in dynamical neural network models |
| Sub Title (in English) | |
| Keyword(1) | neural network models |
| Keyword(2) | dynamical assocication |
| Keyword(3) | genetic algorithms |
| 1st Author's Name | Masaharu ADACHI |
| 1st Author's Affiliation | Department of Electronic Engineering, College of Engineering, Tokyo Denki University() |
| 2nd Author's Name | Katsuhiro SAITO |
| 2nd Author's Affiliation | Department of Electronic Engineering, College of Engineering, Tokyo Denki University |
| Date | 2002/3/8 |
| Paper # | NLP2001-105 |
| Volume (vol) | vol.101 |
| Number (no) | 723 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |